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. This project is operated in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger. PLUS features a hybrid tutoring platform that combines human and
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related discipline. The candidates will have expertise in computational imaging, with: (i) an algorithmic focus, with particular interest in methods at the interface of deep learning and optimisation
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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) knowledge of machine learning, deep learning, econometrics and social network. Applicants are invited to contact Prof. Y. Katherine Feng at telephone number 2766 7127 or via email at katherine.feng
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are
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Better Personalization of Deep Learning-Enhanced Hearing Devices - Royal National Institute for Deaf People (RNID)
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Job Purpose Working with Prof. Surajit Ray, you will contribute to several projects involving the development of statistical models and deep learning framework for multimodal and dynamic medical
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. For the research domain Climate Economics and Policy, led by Prof. Sabine Fuss and Prof. Matthias Kalkuhl, PIK is offering a position as a PhD in Economics (m/f/d) (Position number: 33-2025 PhD Spatial Equilibrium